Periodic Pattern Mining : Theory, Algorithms, and Applications
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Overview
Chapter 1: Introduction to Data Mining.- Chapter 2: Discovering Frequent Patterns in Very Large Transactional Database.- Chapter 3: Discovering Periodic Frequent Patterns in Temporal Databases.- Chapter 4: Discovering Fuzzy Periodic Frequent Patterns in Quantitative Temporal Databases.- Chapter 5: Discovering Partial Periodic Patterns in Temporal Databases.- Chapter 6: Finding Periodic Patterns in Multiple Sequences.- Chapter 7: Discovering Self Reliant Patterns.- Chapter 8: Finding Periodic High Utility Patterns in Sequence.- Chapter 9: Mining Periodic High Utility Sequential Patterns with Negative Unit Profits.- Chapter 10: Hiding Periodic High Utility Sequential Patterns.- Chapter 11: NetHAPP.- Chapter 12: Privacy Preservation of Periodic Frequent Patterns using Sensitive Inverse Frequency.
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Details
- ISBN-13: 9789811639661
- ISBN-10: 9811639663
- Publisher: Springer
- Publish Date: October 2022
- Dimensions: 9.21 x 6.14 x 0.57 inches
- Shipping Weight: 0.85 pounds
- Page Count: 263
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